



'''simple docstring'''


import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


lowercase_   :					Dict        =     NewType('''DataClass''', Any)
lowercase_   :					int        =     NewType('''DataClassType''', Any)







def   SCREAMING_SNAKE_CASE					(					lowercase_     :   Optional[Any]    ):
						if isinstance(UpperCamelCase_			,	UpperCamelCase_    ):
												return v
						if v.lower() in ("yes", "true", "t", "y", "1"):
												return True
						elif v.lower() in ("no", "false", "f", "n", "0"):
												return False
						else:
												raise ArgumentTypeError(
												    F"""Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive)."""    )







def   SCREAMING_SNAKE_CASE					(					lowercase_     :   Any    ):
						lowercase   =				{str(UpperCamelCase_    ): choice for choice in choices}
						return lambda lowercase_    : str_to_choice.get(UpperCamelCase_			,	UpperCamelCase_    )







def   SCREAMING_SNAKE_CASE					(					*,
    lowercase_     :   Optional[int] = None			,	lowercase_     :   str = None			,	lowercase_     :   Union[str, Any] = dataclasses.MISSING			,	lowercase_     :   Union[str, Any] = dataclasses.MISSING			,	lowercase_     :   Dict = None			,	**lowercase_     :   str			,	):
						if metadata is None:
												# Important, don't use as default param in function signature because dict is mutable and shared across function calls
												lowercase   =				{}
						if aliases is not None:
												lowercase   =				aliases
						if help is not None:
												lowercase   =				help

						return dataclasses.field(metadata=UpperCamelCase_			,	default=UpperCamelCase_			,	default_factory=UpperCamelCase_			,	**UpperCamelCase_    )




class   __UpperCamelCase							(__lowerCAmelCase      ):
	__A      	=       42







	def __init__(     self			,					_lowerCAmelCase			,					**_lowerCAmelCase    )     ->     str:
							'''simple docstring'''






							if "formatter_class" not in kwargs:
													lowercase   =				ArgumentDefaultsHelpFormatter
							super().__init__(**lowerCamelCase_    )
							if dataclasses.is_dataclass(lowerCamelCase_    ):
													lowercase   =				[dataclass_types]
							lowercase   =				list(lowerCamelCase_    )
							for dtype in self.dataclass_types:
													self._add_dataclass_arguments(lowerCamelCase_    )







	@staticmethod
	def 	_a (     _lowerCAmelCase			,					_lowerCAmelCase    )     ->     str:
							'''simple docstring'''






							lowercase   =				F"""--{field.name}"""
							lowercase   =				field.metadata.copy()
							# field.metadata is not used at all by Data Classes,
							# it is provided as a third-party extension mechanism.
							if isinstance(field.type			,					lowerCamelCase_    ):
													raise RuntimeError(
													    """Unresolved type detected, which should have been done with the help of """
													    """`typing.get_type_hints` method by default"""    )

							lowercase   =				kwargs.pop("""aliases"""			,					[]    )
							if isinstance(lowerCamelCase_			,					lowerCamelCase_    ):
													lowercase   =				[aliases]

							lowercase   =				getattr(field.type			,					"""__origin__"""			,					field.type    )
							if origin_type is Union or (hasattr(lowerCamelCase_			,					"""UnionType"""    ) and isinstance(lowerCamelCase_			,					types.UnionType    )):
													if str not in field.type.__args__ and (
													    len(field.type.__args__    ) != 2 or type(lowerCamelCase_    ) not in field.type.__args__
													):
																			raise ValueError(
																			    """Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"""
																			    """ the argument parser only supports one type per argument."""
																			    F""" Problem encountered in field '{field.name}'."""    )
													if type(lowerCamelCase_    ) not in field.type.__args__:
																			# filter `str` in Union
																			lowercase   =				field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
																			lowercase   =				getattr(field.type			,					"""__origin__"""			,					field.type    )
													elif bool not in field.type.__args__:
																			# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
																			lowercase   =				(
																			    field.type.__args__[0] if isinstance(lowerCamelCase_			,					field.type.__args__[1]    ) else field.type.__args__[1]
																			)
																			lowercase   =				getattr(field.type			,					"""__origin__"""			,					field.type    )

																			  # A variable to store kwargs for a boolean field, if needed
																			  # so that we can init a `no_*` complement argument (see below)
							lowercase   =				{}
							if origin_type is Literal or (isinstance(field.type			,					lowerCamelCase_    ) and issubclass(field.type			,					lowerCamelCase_    )):
													if origin_type is Literal:
																			lowercase   =				field.type.__args__
													else:
																			lowercase   =				[x.value for x in field.type]

													lowercase   =				make_choice_type_function(kwargs["""choices"""]    )

													if field.default is not dataclasses.MISSING:
																			lowercase   =				field.default
													else:
																			lowercase   =				True
							elif field.type is bool or field.type == Optional[bool]:
													# Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
													# We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
													lowercase   =				copy(lowerCamelCase_    )

													# Hack because type=bool in argparse does not behave as we want.
													lowercase   =				string_to_bool
													if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
																			# Default value is False if we have no default when of type bool.
																			lowercase   =				False if field.default is dataclasses.MISSING else field.default
																			# This is the value that will get picked if we don't include --field_name in any way
																			lowercase   =				default
																			# This tells argparse we accept 0 or 1 value after --field_name
																			lowercase   =				"""?"""
																			# This is the value that will get picked if we do --field_name (without value)
																			lowercase   =				True
							elif isclass(lowerCamelCase_    ) and issubclass(lowerCamelCase_			,					lowerCamelCase_    ):
													lowercase   =				field.type.__args__[0]
													lowercase   =				"""+"""
													if field.default_factory is not dataclasses.MISSING:
																			lowercase   =				field.default_factory()
													elif field.default is dataclasses.MISSING:
																			lowercase   =				True
							else:
													lowercase   =				field.type
													if field.default is not dataclasses.MISSING:
																			lowercase   =				field.default
													elif field.default_factory is not dataclasses.MISSING:
																			lowercase   =				field.default_factory()
													else:
																			lowercase   =				True
							parser.add_argument(lowerCamelCase_			,					*lowerCamelCase_			,					**lowerCamelCase_    )

							# Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
							# Order is important for arguments with the same destination!
							# We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
							# here and we do not need those changes/additional keys.
							if field.default is True and (field.type is bool or field.type == Optional[bool]):
													lowercase   =				False
													parser.add_argument(F"""--no_{field.name}"""			,					action="""store_false"""			,					dest=field.name			,					**lowerCamelCase_    )







	def 	_a (     self			,					_lowerCAmelCase    )     ->     str:
							'''simple docstring'''






							if hasattr(lowerCamelCase_			,					"""_argument_group_name"""    ):
													lowercase   =				self.add_argument_group(dtype._argument_group_name    )
							else:
													lowercase   =				self

							try:
													lowercase   =				get_type_hints(lowerCamelCase_    )
							except NameError:
													raise RuntimeError(
													    F"""Type resolution failed for {dtype}. Try declaring the class in global scope or """
													    """removing line of `from __future__ import annotations` which opts in Postponed """
													    """Evaluation of Annotations (PEP 563)"""    )
							except TypeError as ex:
													# Remove this block when we drop Python 3.9 support
													if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(lowerCamelCase_    ):
																			lowercase   =				""".""".join(map(lowerCamelCase_			,					sys.version_info[:3]    )    )
																			raise RuntimeError(
																			    F"""Type resolution failed for {dtype} on Python {python_version}. Try removing """
																			    """line of `from __future__ import annotations` which opts in union types as """
																			    """`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To """
																			    """support Python versions that lower than 3.10, you need to use """
																			    """`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of """
																			    """`X | None`."""    ) from ex
													raise

							for field in dataclasses.fields(lowerCamelCase_    ):
													if not field.init:
																			continue
													lowercase   =				type_hints[field.name]
													self._parse_dataclass_field(lowerCamelCase_			,					lowerCamelCase_    )







	def 	_a (     self			,					_lowerCAmelCase=None			,					_lowerCAmelCase=False			,					_lowerCAmelCase=True			,					_lowerCAmelCase=None			,					_lowerCAmelCase=None			,					)     ->     Dict:
							'''simple docstring'''






							if args_file_flag or args_filename or (look_for_args_file and len(sys.argv    )):
													lowercase   =				[]

													if args_filename:
																			args_files.append(Path(lowerCamelCase_    )    )
													elif look_for_args_file and len(sys.argv    ):
																			args_files.append(Path(sys.argv[0]    ).with_suffix(""".args"""    )    )

													# args files specified via command line flag should overwrite default args files so we add them last
													if args_file_flag:
																			# Create special parser just to extract the args_file_flag values
																			lowercase   =				ArgumentParser()
																			args_file_parser.add_argument(lowerCamelCase_			,					type=lowerCamelCase_			,					action="""append"""    )

																			# Use only remaining args for further parsing (remove the args_file_flag)
																			lowercase  , lowercase   =				args_file_parser.parse_known_args(args=lowerCamelCase_    )
																			lowercase   =				vars(lowerCamelCase_    ).get(args_file_flag.lstrip("""-"""    )			,					lowerCamelCase_    )

																			if cmd_args_file_paths:
																									args_files.extend([Path(lowerCamelCase_    ) for p in cmd_args_file_paths]    )

													lowercase   =				[]
													for args_file in args_files:
																			if args_file.exists():
																									file_args += args_file.read_text().split()

																									     # in case of duplicate arguments the last one has precedence
																									     # args specified via the command line should overwrite args from files, so we add them last
													lowercase   =				file_args + args if args is not None else file_args + sys.argv[1:]
							lowercase  , lowercase   =				self.parse_known_args(args=lowerCamelCase_    )
							lowercase   =				[]
							for dtype in self.dataclass_types:
													lowercase   =				{f.name for f in dataclasses.fields(lowerCamelCase_    ) if f.init}
													lowercase   =				{k: v for k, v in vars(lowerCamelCase_    ).items() if k in keys}
													for k in keys:
																			delattr(lowerCamelCase_			,					lowerCamelCase_    )
													lowercase   =				dtype(**lowerCamelCase_    )
													outputs.append(lowerCamelCase_    )
							if len(namespace.__dict__    ) > 0:
													# additional namespace.
													outputs.append(lowerCamelCase_    )
							if return_remaining_strings:
													return (*outputs, remaining_args)
							else:
													if remaining_args:
																			raise ValueError(F"""Some specified arguments are not used by the HfArgumentParser: {remaining_args}"""    )

													return (*outputs,)







	def 	_a (     self			,					_lowerCAmelCase			,					_lowerCAmelCase = False    )     ->     Any:
							'''simple docstring'''






							lowercase   =				set(args.keys()    )
							lowercase   =				[]
							for dtype in self.dataclass_types:
													lowercase   =				{f.name for f in dataclasses.fields(lowerCamelCase_    ) if f.init}
													lowercase   =				{k: v for k, v in args.items() if k in keys}
													unused_keys.difference_update(inputs.keys()    )
													lowercase   =				dtype(**lowerCamelCase_    )
													outputs.append(lowerCamelCase_    )
							if not allow_extra_keys and unused_keys:
													raise ValueError(F"""Some keys are not used by the HfArgumentParser: {sorted(lowerCamelCase_    )}"""    )
							return tuple(lowerCamelCase_    )







	def 	_a (     self			,					_lowerCAmelCase			,					_lowerCAmelCase = False    )     ->     Optional[Any]:
							'''simple docstring'''






							with open(Path(lowerCamelCase_    )			,					encoding="""utf-8"""    ) as open_json_file:
													lowercase   =				json.loads(open_json_file.read()    )
							lowercase   =				self.parse_dict(lowerCamelCase_			,					allow_extra_keys=lowerCamelCase_    )
							return tuple(lowerCamelCase_    )







	def 	_a (     self			,					_lowerCAmelCase			,					_lowerCAmelCase = False    )     ->     int:
							'''simple docstring'''






							lowercase   =				self.parse_dict(yaml.safe_load(Path(lowerCamelCase_    ).read_text()    )			,					allow_extra_keys=lowerCamelCase_    )
							return tuple(lowerCamelCase_    )



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE 		=      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE 		=      {
    """sail/poolformer_s12""": """https://huggingface.co/sail/poolformer_s12/resolve/main/config.json""",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
   __lowerCAmelCase           =				"""poolformer"""







   def __init__(     self						:						str   ,   lowerCamelCase_						:						Any=3   ,   lowerCamelCase_						:						Any=16   ,   lowerCamelCase_						:						Any=16   ,   lowerCamelCase_						:						Optional[Any]=3   ,   lowerCamelCase_						:						List[str]=4.0   ,   lowerCamelCase_						:						Tuple=[2, 2, 6, 2]   ,   lowerCamelCase_						:						Optional[Any]=[64, 128, 320, 512]   ,   lowerCamelCase_						:						Tuple=[7, 3, 3, 3]   ,   lowerCamelCase_						:						Optional[Any]=[4, 2, 2, 2]   ,   lowerCamelCase_						:						Dict=[2, 1, 1, 1]   ,   lowerCamelCase_						:						Tuple=4   ,   lowerCamelCase_						:						Optional[int]=0.0   ,   lowerCamelCase_						:						Union[str, Any]="gelu"   ,   lowerCamelCase_						:						Union[str, Any]=True   ,   lowerCamelCase_						:						Union[str, Any]=1E-5   ,   lowerCamelCase_						:						int=0.0_2   ,   **lowerCamelCase_						:						str   ,   ):





    """simple docstring"""


    UpperCamelCase			  =      num_channels
    UpperCamelCase			  =      patch_size
    UpperCamelCase			  =      stride
    UpperCamelCase			  =      padding
    UpperCamelCase			  =      pool_size
    UpperCamelCase			  =      hidden_sizes
    UpperCamelCase			  =      mlp_ratio
    UpperCamelCase			  =      depths
    UpperCamelCase			  =      patch_sizes
    UpperCamelCase			  =      strides
    UpperCamelCase			  =      num_encoder_blocks
    UpperCamelCase			  =      drop_path_rate
    UpperCamelCase			  =      hidden_act
    UpperCamelCase			  =      use_layer_scale
    UpperCamelCase			  =      layer_scale_init_value
    UpperCamelCase			  =      initializer_range
    super().__init__(**lowerCamelCase_				)





class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
   __lowerCAmelCase           =				version.parse("""1.11"""		)







   @property
   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    return OrderedDict(
        [
            ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
        ]				)







   @property
   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    return 2E-3
